--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ines/イネス/伊内丝 (Arknights) This is the dataset of ines/イネス/伊内丝 (Arknights), containing 149 images and their tags. The core tags of this character are `black_hair, horns, long_hair, yellow_eyes, breasts, demon_horns, very_long_hair, parted_bangs, large_breasts`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 149 | 301.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ines_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 149 | 242.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ines_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 371 | 463.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ines_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/ines_arknights', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 17 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, bare_shoulders, looking_at_viewer, solo, long_sleeves, belt, detached_sleeves, pouch, black_shirt, simple_background, black_skirt, closed_mouth, black_dress, cowboy_shot, sleeveless, white_background, holding, weapon, hand_up, string | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, belt, black_skirt, closed_mouth, long_sleeves, pouch, solo, bare_shoulders, black_footwear, black_shirt, knee_boots, looking_at_viewer, thighs, black_dress, full_body, medium_breasts, miniskirt, single_knee_pad, standing, thigh_strap, black_nails, holding_dagger, knee_pads, mole, pencil_skirt, shoulder_cutout, sword | | 2 | 6 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, blush, mosaic_censoring, nipples, looking_at_viewer, open_mouth, sweat, cum_in_pussy, hetero, solo_focus, 1boy, after_sex, bare_shoulders, black_footwear, black_nails, boots, cumdrip, nail_polish, symbol-shaped_pupils, vaginal | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | looking_at_viewer | solo | long_sleeves | belt | detached_sleeves | pouch | black_shirt | simple_background | black_skirt | closed_mouth | black_dress | cowboy_shot | sleeveless | white_background | holding | weapon | hand_up | string | black_footwear | knee_boots | thighs | full_body | medium_breasts | miniskirt | single_knee_pad | standing | thigh_strap | black_nails | holding_dagger | knee_pads | mole | pencil_skirt | shoulder_cutout | sword | blush | mosaic_censoring | nipples | open_mouth | sweat | cum_in_pussy | hetero | solo_focus | 1boy | after_sex | boots | cumdrip | nail_polish | symbol-shaped_pupils | vaginal | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:--------------------|:-------|:---------------|:-------|:-------------------|:--------|:--------------|:--------------------|:--------------|:---------------|:--------------|:--------------|:-------------|:-------------------|:----------|:---------|:----------|:---------|:-----------------|:-------------|:---------|:------------|:-----------------|:------------|:------------------|:-----------|:--------------|:--------------|:-----------------|:------------|:-------|:---------------|:------------------|:--------|:--------|:-------------------|:----------|:-------------|:--------|:---------------|:---------|:-------------|:-------|:------------|:--------|:----------|:--------------|:-----------------------|:----------| | 0 | 17 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | X | X | | X | X | | X | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | 2 | 6 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |